Dynamic Patterns of Gene Expression Additivity and Regulatory Variation throughout Maize Development
Peng Zhou1, Candice N Hirsch2, Steven P Briggs3
1Department of Plant and Microbial Biology, University of Minnesota, Saint Paul, MN 55108, USA.
Maize gene expression varies significantly across tissues, with many genes showing tissue-specific regulation and contributing to hybrid vigor (heterosis). Understanding this dynamic regulation is key to connecting gene expression to observable traits.
Area of Science:
- Plant genomics
- Molecular biology
- Maize genetics
Background:
- Gene expression variation is crucial for phenotypic diversity and heterosis in maize.
- Understanding regulatory mechanisms underlying gene expression is essential for crop improvement.
Purpose of the Study:
- To analyze developmental dynamics of gene expression, additivity, and regulatory variation in maize inbreds and their hybrid.
- To investigate tissue-specific gene expression patterns and their contribution to heterosis.
Main Methods:
- Performed transcriptome profiling on 23 tissues/developmental stages of maize inbreds (B73, Mo17) and their F1 hybrid.
- Analyzed differential gene expression, additive expression patterns, and allele-specific expression to classify regulatory variation (cis- and trans-).
Main Results:
- Identified ~30,000 expressed genes and ~10,000 "silent" genes in maize.
- Found widespread tissue-specific differential gene expression (74% of expressed genes), with many genes exhibiting dynamic regulatory changes.
- Observed that ~5000 single-parent expressed genes were at mid-parent levels or higher in the hybrid, supporting hybrid complementation and heterosis.
- Differentiated cis-regulatory variation (often additive, consistent) from trans-regulatory variation (enriched for non-additive, tissue-specific patterns).
Conclusions:
- Maize gene expression is highly dynamic and tissue-specific, indicating substantial regulatory variation between inbred lines.
- Additive gene expression is more common than non-additive, especially for genes with strong differential or single-parent expression.
- Understanding tissue-specific regulatory mechanisms is vital for linking transcriptome data to phenome and harnessing heterosis.
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